31 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Uppsala universitet in Sweden
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assignments in engineering programs and master's programs. More information is available on our website . ( https://www.kemi.uu.se/angstrom/?languageId=1 ) Subject description The project includes the
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• Palaeobiology • Wind Energy For more information see: www.uu.se/earthsciences The successful candidate will join the research program Air, Water and Landscape Sciences (LUVAL) ( https://www.uu.se
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continued good growth in our subject area. The department has education assignments in engineering programs and master's programs. More information is available on our website . ( https://kemi.uu.se
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, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine
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, computer science, mathematics, chemistry, engineering sciences and physics. In total, we are over 200 staff and ~60 Ph.D. students. Please read more about the department’s work at https://www.uu.se
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chemistry, molecular modelling, and artificial intelligence. A central part of the work is to develop and apply modern AI and machine learning methods to explore, understand, and optimize high-entropy
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in our subject area. The department has education assignments in engineering programs and master's programs. More information is available on our website https://kemi.uu.se/angstrom/?languageId=1
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engineering programs and master's programs. More information is available on our website . ( https://kemi.uu.se/angstrom/?languageId=1 ). The Structural Chemistry section at the Department of Chemistry
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advanced data‑mining and machine‑learning methods. The expected scientific outcome is to establish guidelines for identifying and optimizing promising electrolyte materials and to support the
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of the same underlying process, traditionally interpreted manually and in isolation. Multimodal machine learning offers a principled alternative: integrating heterogeneous experimental and simulation